AI IoTプラットフォーム市場レポート：動向、予測、競合分析 (2031年まで)

世界のAI IoTプラットフォーム市場の将来は、製造業、医療、エネルギー・ユーティリティ市場での機会で有望視されています。世界のAI IoTプラットフォーム市場は、2025年から2031年にかけてCAGR 24.8％で成長すると予測されます。この市場の主な促進要因は、データ分析と意思決定のためのAI採用の増加、業界全体における自動化と最適化への注目の高まり、コネクテッドデバイスとスマートテクノロジーへの需要の高まりです。

• Lucintelの予測では、種類別では、インテリジェント端末製品が予測期間中に高い成長を遂げる見込みです。
• 用途別では、製造業が最も高い成長が見込まれています。
• 地域別では、アジア太平洋が予測期間中に最も高い成長が見込まれます。

AI IoTプラットフォーム市場の戦略的成長機会

AI IoTプラットフォーム市場は、技術進歩と市場ニーズに後押しされ、様々なアプリケーションにおいていくつかの戦略的成長機会を提示しています。

• スマートシティ：スマートシティ構想は、AI IoTプラットフォームに大きな成長機会を提供します。これらのプラットフォームは、リアルタイムのデータ分析と自動化を通じて、都市インフラ、交通、公共サービスの管理を可能にします。スマートシティプロジェクトへの投資は、都市の効率性、持続可能性、生活の質の向上につながります。
• 産業用IoT（IIoT）：産業用IoT分野は、AIを製造や産業プロセスに統合することで成長機会をもたらします。AI IoTプラットフォームは、予知保全、プロセス最適化、サプライチェーン管理を強化することができます。このセクターは、効率性の向上、ダウンタイムの削減、コスト削減の恩恵を受けます。
• 医療と遠隔監視：AI IoTプラットフォームは、遠隔患者モニタリングやスマート医療機器への応用で医療に革命をもたらしています。これらのプラットフォームはリアルタイムの健康データ収集と分析を可能にし、医療施設における患者ケアと業務効率を向上させます。遠隔医療と個別化医療に対する需要の高まりが、この機会を後押ししています。
• 農業と精密農業：農業におけるAI IoTプラットフォームの統合は、精密農業とスマート灌漑の機会を提供します。これらのプラットフォームは、作物管理、資源利用、収量予測を最適化するためのデータ主導の洞察を提供します。持続可能で効率的な農業を目指す動向は、この成長分野を支えています。
• スマートホームとビルディング：スマートホームとビルの市場は、AI IoTプラットフォームの採用により拡大しています。これらのプラットフォームは、ホームオートメーション、エネルギー管理、セキュリティシステムを強化します。接続された効率的な居住空間に対する需要の高まりが、この応用分野の成長機会をもたらしています。

こうした戦略的成長機会は、AI IoTプラットフォームの多様な用途と可能性を浮き彫りにしています。スマートシティ、産業用IoT、医療、農業、スマートホームに注力することで、企業は拡大する市場に参入し、新たなニーズに対応することができ、AI IoT分野のイノベーションと成長を促進することができます。

AI IoTプラットフォーム市場の促進要因・課題

AI IoTプラットフォーム市場は、技術、経済、規制要因を含む様々な促進要因・課題の影響を受けています。

AI IoTプラットフォーム市場の促進要因には、以下のようなものがあります：

• 技術的進歩：AIおよびIoT技術の急速な進歩は、プラットフォームの機能を強化し、応用分野を拡大することで市場の成長を促進します。エッジコンピューティング、高度なアルゴリズム、スマートセンサーなどの技術革新は、AI IoTプラットフォームの性能と機能を向上させ、採用と開発を促進します。
• 自動化需要の増加：製造、医療、スマートシティなど、さまざまな分野で自動化の需要が高まっていることが、AI IoTプラットフォームの採用を後押ししています。これらのプラットフォームは、効率的な自動化プロセスを可能にし、人件費の削減と業務効率の向上を実現します。
• スマートインフラの拡大：スマートシティやスマートインフラの開発は、AI IoTプラットフォームの需要を生み出します。これらのプラットフォームは、都市資源、交通、公共サービスの管理と最適化をサポートし、市場の成長を促進します。
• データ分析への注目の高まり：データ主導の意思決定と分析を重視する傾向が強まっており、AI IoTプラットフォームの需要を押し上げています。これらのプラットフォームが提供する高度な分析機能により、企業は実用的な考察を導き出し、パフォーマンスを向上させ、競争力を高めることができます。
• 政府の支援政策：デジタルトランスフォーメーション、スマートインフラ、持続可能な技術を促進する政府の取り組みや政策が、AI IoTプラットフォーム市場の成長を支えています。技術開発のための資金調達とインセンティブは、技術革新と市場拡大を促進します。

AI IoTプラットフォーム市場における課題は以下の通りです：

• サイバーセキュリティの懸念：サイバーセキュリティの脅威と脆弱性は、AI IoTプラットフォーム市場に大きな課題をもたらします。データ保護の確保と不正アクセスの防止には、強固なセキュリティ対策と不断の警戒が必要であり、IoTソリューションの開発と導入に影響を与えています。
• 統合と相互運用性の問題：組織が多様なIoTデバイスやプラットフォームを導入する際には、統合と相互運用性の課題が生じます。AI IoTソリューションの効果的な導入には、異なるシステムや標準間でのシームレスな通信と互換性の確保が不可欠です。
• 高い導入コスト：ハードウェア、ソフトウェア、インフラを含むAI IoTプラットフォームの導入コストは、導入の障壁となる可能性があります。高額な初期投資と継続的なメンテナンス・コストが、こうした技術の採用を躊躇させる組織もあると思われます。

これらの促進要因・課題は、成長と市場開拓に影響を与えることで、AI IoTプラットフォーム市場を形成します。技術の進歩、自動化需要、スマートインフラの拡大、データ分析への注力、支援政策が市場拡大の原動力となる一方で、サイバーセキュリティへの懸念、統合の問題、高コストが課題となります。AI IoTプラットフォームの展開と採用を成功させるには、これらの要因のバランスを取ることが重要です。

目次

第1章 エグゼクティブサマリー

第2章 世界のAI IoTプラットフォーム市場：市場力学

• イントロダクション、背景、分類
• サプライチェーン
• 業界の促進要因と課題

第3章 市場動向と予測分析 (2019年～2031年)

• マクロ経済動向 (2019～2024年) と予測 (2025～2031年)
• 世界のAI IoTプラットフォーム市場の動向 (2019～2024年) と予測 (2025～2031年)
• 世界のAI IoTプラットフォーム市場：種類別
  • インテリジェント端末製品
  • 技術サービス
• 世界のAI IoTプラットフォーム市場：用途別
  • 製造業
  • 医療
  • エネルギー・ユーティリティ
  • その他

第4章 地域別の市場動向と予測分析 (2019年～2031年)

• 世界のAI IoTプラットフォーム市場：地域別
• 北米のAI IoTプラットフォーム市場
• 欧州のAI IoTプラットフォーム市場
• アジア太平洋のAI IoTプラットフォーム市場
• その他地域のAI IoTプラットフォーム市場

第5章 競合分析

• 製品ポートフォリオ分析
• 運用統合
• ポーターのファイブフォース分析

第6章 成長機会と戦略分析

• 成長機会分析
  • 世界のAI IoTプラットフォーム市場の成長機会：種類別
  • 世界のAI IoTプラットフォーム市場の成長機会：用途別
  • 世界のAI IoTプラットフォーム市場の成長機会：地域別
• 世界のAI IoTプラットフォーム市場の新たな動向
• 戦略的分析
  • 新製品の開発
  • 世界のAI IoTプラットフォーム市場の生産能力拡大
  • 世界のAI IoTプラットフォーム市場における企業合併・買収 (M&A)、合弁事業
  • 認証とライセンシング

第7章 主要企業のプロファイル

• IBM
• Sharp Global
• Google
• AWS
• Microsoft
• Oracle
• HPE
• Cisco
• Intel
• Tencent Cloud

The future of the global AI IoT platform market looks promising with opportunities in the manufacturing, health care, and energy & utility markets. The global AI IoT platform market is expected to grow with a CAGR of 24.8% from 2025 to 2031. The major drivers for this market are the increasing adoption of AI for data analysis & decision-making, rising focus on automation & optimization across industries, and growing demand for connected devices & smart technologies.

• Lucintel forecasts that, within the type category, intelligent terminal product is expected to witness higher growth over the forecast period.
• Within the application category, manufacturing is expected to witness the highest growth.
• In terms of regions, APAC is expected to witness the highest growth over the forecast period.

Gain valuable insights for your business decisions with our comprehensive 150+ page report.

Emerging Trends in the AI IoT Platform Market

The AI IoT platform market is influenced by several emerging trends that reflect advancements in technology and shifting market demands.

• Edge Computing Integration: Edge computing is becoming increasingly important as it enables data processing closer to the source of data generation. This reduces latency and bandwidth usage, improving the performance of IoT applications. Integrating edge computing with AI IoT platforms enhances real-time decision-making and supports applications requiring immediate responses, such as autonomous systems and smart manufacturing.
• Increased Focus on Cybersecurity: As IoT devices become more prevalent, the focus on cybersecurity for AI IoT platforms is intensifying. Protecting data integrity and preventing unauthorized access are critical. Advances in AI-driven security solutions are being integrated into IoT platforms to enhance threat detection and response, addressing growing concerns about data breaches and cyberattacks.
• Expansion of AI-Driven Analytics: AI-driven analytics are being increasingly embedded into IoT platforms, providing deeper insights and predictive capabilities. This trend allows organizations to leverage big data and machine learning algorithms for improved decision-making, operational efficiency, and strategic planning. Enhanced analytics capabilities are driving more sophisticated and actionable insights from IoT data.
• Growth of Smart Cities and Infrastructure: The development of smart cities and smart infrastructure is driving demand for AI IoT platforms. These platforms enable efficient management of urban resources, traffic systems, and public services. Integration with AI allows for advanced data analysis and optimization of city operations, improving quality of life and sustainability in urban areas.
• Evolution of AI and IoT Standards: The evolution of standards for AI and IoT is crucial for interoperability and integration. Efforts are underway to develop standardized protocols and frameworks that ensure compatibility across different platforms and devices. This trend facilitates seamless integration and scalability, promoting widespread adoption and innovation in the AI IoT market.

These trends are reshaping the AI IoT platform market by enhancing performance, security, and functionality. The integration of edge computing, focus on cybersecurity, expansion of AI analytics, growth of smart infrastructure, and development of standards are driving innovation and adoption, leading to more sophisticated and efficient AI IoT solutions.

Recent Developments in the AI IoT Platform Market

Several key developments are shaping the AI IoT platform market, driven by technological advancements and changing industry needs.

• Enhanced Edge AI Capabilities: The development of advanced edge AI capabilities allows for real-time data processing and analysis at the edge of the network. This reduces latency and supports applications requiring immediate decision-making, such as autonomous vehicles and smart manufacturing. Enhanced edge AI capabilities are improving the performance and responsiveness of IoT systems.
• Advanced AI Algorithms for IoT: The integration of advanced AI algorithms with IoT platforms is driving innovation. These algorithms enable more accurate data analysis, predictive maintenance, and automation. The use of sophisticated machine learning models enhances the ability of IoT platforms to provide actionable insights and improve operational efficiency.
• Growth of AI-Powered IoT Security Solutions: The rise of AI-powered security solutions is addressing the growing need for robust cybersecurity in IoT systems. AI-driven tools are enhancing threat detection, response, and prevention, safeguarding IoT devices and data from cyber threats. This development is crucial for protecting sensitive information and ensuring the integrity of IoT networks.
• Expansion of IoT in Smart Cities: The integration of IoT platforms in smart city initiatives is expanding rapidly. These platforms enable efficient management of urban resources, infrastructure, and public services. AI enhances the capabilities of these systems, allowing for better traffic management, energy optimization, and improved public safety in smart cities.
• Standardization Efforts for AI IoT: Efforts to develop standardized protocols and frameworks for AI IoT platforms are advancing. Standardization promotes interoperability and compatibility across different devices and systems, facilitating integration and scalability. This development supports the widespread adoption of AI IoT technologies and encourages innovation within the industry.

These developments highlight the rapid progress and innovation in the AI IoT platform market. Enhanced edge AI capabilities, advanced algorithms, AI-powered security, smart city integration, and standardization efforts are driving growth and shaping the future of AI IoT technologies, leading to more efficient and secure solutions.

Strategic Growth Opportunities for AI IoT Platform Market

The AI IoT platform market presents several strategic growth opportunities across various applications, driven by technological advancements and market needs.

• Smart Cities: Smart city initiatives offer significant growth opportunities for AI IoT platforms. These platforms enable the management of urban infrastructure, traffic, and public services through real-time data analysis and automation. Investing in smart city projects can lead to improved urban efficiency, sustainability, and quality of life.
• Industrial IoT (IIoT): The industrial IoT sector presents opportunities for growth by integrating AI with manufacturing and industrial processes. AI IoT platforms can enhance predictive maintenance, process optimization, and supply chain management. This sector benefits from increased efficiency, reduced downtime, and cost savings.
• Healthcare and Remote Monitoring: AI IoT platforms are revolutionizing healthcare with applications in remote patient monitoring and smart medical devices. These platforms enable real-time health data collection and analysis, improving patient care and operational efficiency in healthcare facilities. The growing demand for telehealth and personalized medicine drives this opportunity.
• Agriculture and Precision Farming: The integration of AI IoT platforms in agriculture offers opportunities for precision farming and smart irrigation. These platforms provide data-driven insights for optimizing crop management, resource use, and yield prediction. The trend toward sustainable and efficient farming practices supports this growth area.
• Smart Homes and Buildings: The market for smart homes and buildings is expanding with the adoption of AI IoT platforms. These platforms enhance home automation, energy management, and security systems. The increasing demand for connected and efficient living spaces presents opportunities for growth in this application area.

These strategic growth opportunities highlight the diverse applications and potential of AI IoT platforms. By focusing on smart cities, industrial IoT, healthcare, agriculture, and smart homes, companies can tap into expanding markets and address emerging needs, driving innovation and growth in the AI IoT sector.

AI IoT Platform Market Driver and Challenges

The AI IoT platform market is influenced by various drivers and challenges, including technological, economic, and regulatory factors.

The factors responsible for driving the AI IoT platform market include:

• Technological Advancements: Rapid advancements in AI and IoT technologies drive market growth by enhancing platform capabilities and expanding application areas. Innovations such as edge computing, advanced algorithms, and smart sensors improve the performance and functionality of AI IoT platforms, fostering adoption and development.
• Increasing Demand for Automation: The growing demand for automation in various sectors, including manufacturing, healthcare, and smart cities, drives the adoption of AI IoT platforms. These platforms enable efficient, automated processes, reducing labor costs and improving operational efficiency.
• Expansion of Smart Infrastructure: The development of smart cities and smart infrastructure creates a demand for AI IoT platforms. These platforms support the management and optimization of urban resources, transportation, and public services, driving growth in the market.
• Rising Focus on Data Analytics: The increasing emphasis on data-driven decision-making and analytics boosts the demand for AI IoT platforms. Advanced analytics capabilities provided by these platforms enable organizations to derive actionable insights, improve performance, and gain a competitive edge.
• Supportive Government Policies: Government initiatives and policies promoting digital transformation, smart infrastructure, and sustainable technologies support the growth of the AI IoT platform market. Funding and incentives for technology development encourage innovation and market expansion.

Challenges in the AI IoT platform market include:

• Cybersecurity Concerns: Cybersecurity threats and vulnerabilities pose significant challenges to the AI IoT platform market. Ensuring data protection and preventing unauthorized access require robust security measures and constant vigilance, impacting the development and adoption of IoT solutions.
• Integration and Interoperability Issues: Integration and interoperability challenges arise as organizations deploy diverse IoT devices and platforms. Ensuring seamless communication and compatibility across different systems and standards is essential for the effective implementation of AI IoT solutions.
• High Implementation Costs: The cost of implementing AI IoT platforms, including hardware, software, and infrastructure, can be a barrier to adoption. High initial investments and ongoing maintenance costs may deter some organizations from adopting these technologies.

These drivers and challenges shape the AI IoT platform market by influencing growth and development. Technological advancements, automation demand, smart infrastructure expansion, data analytics focus, and supportive policies drive market expansion, while cybersecurity concerns, integration issues, and high costs present challenges. Balancing these factors is crucial for the successful deployment and adoption of AI IoT platforms.

List of AI IoT Platform Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies AI IoT platform companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI IoT platform companies profiled in this report include-

• IBM
• Sharp Global
• Google
• AWS
• Microsoft
• Oracle
• HPE
• Cisco
• Intel
• Tencent Cloud

AI IoT Platform by Segment

The study includes a forecast for the global AI IoT platform market by type, application, and region.

AI IoT Platform Market by Type [Analysis by Value from 2019 to 2031]:

• Intelligent Terminal Products
• Technical Services

AI IoT Platform Market by Application [Analysis by Value from 2019 to 2031]:

• Manufacturing
• Health Care
• Energy & Utilities
• Others

AI IoT Platform Market by Region [Analysis by Value from 2019 to 2031]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the AI IoT Platform Market

The AI IoT platform market is rapidly evolving as technology advances and organizations seek to harness the power of artificial intelligence (AI) and the Internet of Things (IoT) to drive innovation and efficiency. These platforms integrate AI capabilities with IoT infrastructure, enabling smarter, more automated, and data-driven solutions. Key developments across different regions reflect local priorities and technological progress, influencing how these platforms are used in various industries.

• United States: In the U.S., the AI IoT platform market is marked by significant advancements in AI-driven analytics and edge computing. Companies are increasingly adopting platforms that leverage machine learning and real-time data processing to enhance decision-making and operational efficiency. Integration with cloud services and the expansion of 5G networks are also contributing to growth, enabling faster data transfer and more robust IoT applications.
• China: China is rapidly advancing in the AI IoT platform space, driven by extensive investments in smart cities and industrial automation. Chinese firms are focusing on developing advanced AI algorithms and integrating them with IoT systems for applications in manufacturing, transportation, and urban management. Government policies and funding are supporting the development of these technologies, positioning China as a key player in the global AI IoT landscape.
• Germany: Germany is leading in the AI IoT platform market with a strong emphasis on industrial IoT (IIoT) and smart manufacturing. German companies are adopting platforms that combine AI with IoT to enhance production efficiency, predictive maintenance, and supply chain management. The country's focus on Industry 4.0 and its robust industrial base are driving innovations and applications of AI IoT platforms in the manufacturing and engineering sectors.
• India: In India, the AI IoT platform market is experiencing growth driven by the increasing adoption of smart infrastructure and agricultural technology. Indian firms are leveraging AI IoT platforms for applications in smart cities, energy management, and precision agriculture. The focus is on cost-effective solutions and scalable platforms that address local needs and support the country's rapid urbanization and technological development.
• Japan: Japan is focusing on integrating AI with IoT platforms to advance robotics, smart homes, and autonomous vehicles. Recent developments include sophisticated AI algorithms for enhanced automation and IoT solutions that support Japan's aging population through smart healthcare technologies. Japanese companies are investing in AI IoT platforms to improve efficiency and quality of life through advanced technology applications in both industrial and consumer sectors.

Features of the Global AI IoT Platform Market

Market Size Estimates: AI IoT platform market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

Segmentation Analysis: AI IoT platform market size by type, application, and region in terms of value ($B).

Regional Analysis: AI IoT platform market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI IoT platform market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI IoT platform market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

If you are looking to expand your business in this market or adjacent markets, then contact us. We have done hundreds of strategic consulting projects in market entry, opportunity screening, due diligence, supply chain analysis, M & A, and more.

This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the AI IoT platform market by type (intelligent terminal products and technical services), application (manufacturing, health care, energy & utilities, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global AI IoT Platform Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global AI IoT Platform Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global AI IoT Platform Market by Type
  • 3.3.1: Intelligent Terminal Products
  • 3.3.2: Technical Services
• 3.4: Global AI IoT Platform Market by Application
  • 3.4.1: Manufacturing
  • 3.4.2: Health Care
  • 3.4.3: Energy & Utilities
  • 3.4.4: Others

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global AI IoT Platform Market by Region
• 4.2: North American AI IoT Platform Market
  • 4.2.1: North American Market by Type: Intelligent Terminal Products and Technical Services
  • 4.2.2: North American Market by Application: Manufacturing, Health Care, Energy & Utilities, and Others
• 4.3: European AI IoT Platform Market
  • 4.3.1: European Market by Type: Intelligent Terminal Products and Technical Services
  • 4.3.2: European Market by Application: Manufacturing, Health Care, Energy & Utilities, and Others
• 4.4: APAC AI IoT Platform Market
  • 4.4.1: APAC Market by Type: Intelligent Terminal Products and Technical Services
  • 4.4.2: APAC Market by Application: Manufacturing, Health Care, Energy & Utilities, and Others
• 4.5: ROW AI IoT Platform Market
  • 4.5.1: ROW Market by Type: Intelligent Terminal Products and Technical Services
  • 4.5.2: ROW Market by Application: Manufacturing, Health Care, Energy & Utilities, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global AI IoT Platform Market by Type
  • 6.1.2: Growth Opportunities for the Global AI IoT Platform Market by Application
  • 6.1.3: Growth Opportunities for the Global AI IoT Platform Market by Region
• 6.2: Emerging Trends in the Global AI IoT Platform Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global AI IoT Platform Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI IoT Platform Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: IBM
• 7.2: Sharp Global
• 7.3: Google
• 7.4: AWS
• 7.5: Microsoft
• 7.6: Oracle
• 7.7: HPE
• 7.8: Cisco
• 7.9: Intel
• 7.10: Tencent Cloud